iPad Pro 13-inch (M4)
Geekbench AI Score
4932
Single Precision Score
36263
Half Precision Score
51387
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2069
384.8 IPS |
|
|
Image Classification (HP)
|
100% |
17174
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
24026
4.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22239
360.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30820
499.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10023
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122730
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232210
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2432
192.9 IPS |
|
|
Object Detection (HP)
|
100% |
17939
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25678
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4293
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
42328
502.9 IPS |
|
|
Face Detection (Q)
|
100% |
61912
735.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8490
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98825
761.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
170084
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24348
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234368
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
319996
412.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6086
224.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51139
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82834
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3279
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5581
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5623
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4558
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16715
287.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18529
320.2 IPS |
